Pandas Profiling Report

Dataset statistics

Number of variables	33
Number of observations	724
Missing cells	1457
Missing cells (%)	6.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	186.8 KiB
Average record size in memory	264.2 B

Variable types

Categorical	27
Numeric	6

Warnings

`Corporate Sales Volume Actual` has constant value "$0"	Constant
`Address` has a high cardinality: 723 distinct values	High cardinality
`City` has a high cardinality: 314 distinct values	High cardinality
`Neighborhood` has a high cardinality: 349 distinct values	High cardinality
`Location Sales Volume Actual` has a high cardinality: 344 distinct values	High cardinality
`Year Established` is highly correlated with `Years In Database`	High correlation
`Years In Database` is highly correlated with `Year Established`	High correlation
`Own or Lease` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Rent Expenses` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Telcom Expenses` is highly correlated with `Legal Expenses` and 4 other fields	High correlation
`Management/Administration Expenses` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`County` is highly correlated with `Corporate Sales Volume Actual` and 2 other fields	High correlation
`Contract Labor Expenses` is highly correlated with `Corporate Sales Volume Actual` and 1 other fields	High correlation
`Office Supplies Expense` is highly correlated with `Purchase Print Expenses` and 2 other fields	High correlation
`Advertising Expenses` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Legal Expenses` is highly correlated with `Telcom Expenses` and 3 other fields	High correlation
`Accounting Expenses` is highly correlated with `Corporate Sales Volume Actual` and 1 other fields	High correlation
`Purchase Print Expenses` is highly correlated with `Office Supplies Expense` and 2 other fields	High correlation
`Utilities Expenses` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Corporate Sales Volume Actual` is highly correlated with `Own or Lease` and 21 other fields	High correlation
`Payroll and Benefits Expenses` is highly correlated with `Telcom Expenses` and 2 other fields	High correlation
`Company Name` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Location Employee Size Range` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`State` is highly correlated with `County` and 2 other fields	High correlation
`Location Sales Volume Range` is highly correlated with `Office Supplies Expense` and 2 other fields	High correlation
`Insurance Expenses` is highly correlated with `Telcom Expenses` and 3 other fields	High correlation
`Square Footage` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Package Container Expense` is highly correlated with `Corporate Sales Volume Actual`	High correlation
`Metro Area` is highly correlated with `County` and 2 other fields	High correlation
`Computer Expenses` is highly correlated with `Telcom Expenses` and 4 other fields	High correlation
`Neighborhood` has 295 (40.7%) missing values	Missing
`ZIP Four` has 46 (6.4%) missing values	Missing
`Year Established` has 703 (97.1%) missing values	Missing
`Own or Lease` has 379 (52.3%) missing values	Missing
`Address` is uniformly distributed	Uniform
`Neighborhood` is uniformly distributed	Uniform

Reproduction

Analysis started	2021-01-15 00:06:20.241819
Analysis finished	2021-01-15 00:06:45.283980
Duration	25.04 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

Advertising Expenses
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.8%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$50,000 to $100,000	469
$20,000 to $50,000	190
$100,000 to $250,000	45
$5,000 to $10,000	9
$10,000 to $20,000	8

Length

Max length	20
Median length	19
Mean length	18.75900277
Min length	16

Characters and Unicode

Total characters	13544
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	$20,000 to $50,000
2nd row	$50,000 to $100,000
3rd row	$50,000 to $100,000
4th row	$50,000 to $100,000
5th row	$50,000 to $100,000

Value	Count	Frequency (%)
$50,000 to $100,000	469	64.8%
$20,000 to $50,000	190	26.2%
$100,000 to $250,000	45	6.2%
$5,000 to $10,000	9	1.2%
$10,000 to $20,000	8	1.1%
Less than $5,000	1	0.1%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	721	33.3%
50,000	659	30.4%
100,000	514	23.7%
20,000	198	9.1%
250,000	45	2.1%
10,000	17	0.8%
5,000	10	0.5%
less	1	< 0.1%
than	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	6276	46.3%
	1444	10.7%
$	1443	10.7%
,	1443	10.7%
t	722	5.3%
o	721	5.3%
5	714	5.3%
1	531	3.9%
2	243	1.8%
s	2	< 0.1%
Other values (5)	5	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7764	57.3%
Lowercase Letter	1449	10.7%
Space Separator	1444	10.7%
Currency Symbol	1443	10.7%
Other Punctuation	1443	10.7%
Uppercase Letter	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	722	49.8%
o	721	49.8%
s	2	0.1%
e	1	0.1%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	6276	80.8%
5	714	9.2%
1	531	6.8%
2	243	3.1%

Value	Count	Frequency (%)
$	1443	100.0%

Value	Count	Frequency (%)
,	1443	100.0%

Value	Count	Frequency (%)
	1444	100.0%

Value	Count	Frequency (%)
L	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12094	89.3%
Latin	1450	10.7%

Most frequent character per script

Value	Count	Frequency (%)
t	722	49.8%
o	721	49.7%
s	2	0.1%
L	1	0.1%
e	1	0.1%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	6276	51.9%
	1444	11.9%
$	1443	11.9%
,	1443	11.9%
5	714	5.9%
1	531	4.4%
2	243	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13544	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	6276	46.3%
	1444	10.7%
$	1443	10.7%
,	1443	10.7%
t	722	5.3%
o	721	5.3%
5	714	5.3%
1	531	3.9%
2	243	1.8%
s	2	< 0.1%
Other values (5)	5	< 0.1%

Accounting Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	3
Missing (%)	0.4%
Memory size	5.8 KiB

$5,000 to $10,000	486
$2,500 to $5,000	128
$10,000 to $25,000	88
$1,000 to $2,500	11
$500 to $1,000	8

Length

Max length	18
Median length	17
Mean length	16.89597781
Min length	14

Characters and Unicode

Total characters	12182
Distinct characters	9
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$2,500 to $5,000
2nd row	$5,000 to $10,000
3rd row	$5,000 to $10,000
4th row	$5,000 to $10,000
5th row	$5,000 to $10,000

Value	Count	Frequency (%)
$5,000 to $10,000	486	67.1%
$2,500 to $5,000	128	17.7%
$10,000 to $25,000	88	12.2%
$1,000 to $2,500	11	1.5%
$500 to $1,000	8	1.1%
(Missing)	3	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	721	33.3%
5,000	614	28.4%
10,000	574	26.5%
2,500	139	6.4%
25,000	88	4.1%
1,000	19	0.9%
500	8	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	4753	39.0%
$	1442	11.8%
	1442	11.8%
,	1434	11.8%
5	849	7.0%
t	721	5.9%
o	721	5.9%
1	593	4.9%
2	227	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6422	52.7%
Currency Symbol	1442	11.8%
Space Separator	1442	11.8%
Lowercase Letter	1442	11.8%
Other Punctuation	1434	11.8%

Most frequent character per category

Value	Count	Frequency (%)
0	4753	74.0%
5	849	13.2%
1	593	9.2%
2	227	3.5%

Value	Count	Frequency (%)
t	721	50.0%
o	721	50.0%

Value	Count	Frequency (%)
$	1442	100.0%

Value	Count	Frequency (%)
,	1434	100.0%

Value	Count	Frequency (%)
	1442	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10740	88.2%
Latin	1442	11.8%

Most frequent character per script

Value	Count	Frequency (%)
0	4753	44.3%
$	1442	13.4%
	1442	13.4%
,	1434	13.4%
5	849	7.9%
1	593	5.5%
2	227	2.1%

Value	Count	Frequency (%)
t	721	50.0%
o	721	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12182	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	4753	39.0%
$	1442	11.8%
	1442	11.8%
,	1434	11.8%
5	849	7.0%
t	721	5.9%
o	721	5.9%
1	593	4.9%
2	227	1.9%

Address
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	723
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

806 W Merrick Rd	2
428 Grand St	1
1501 Main St	1
5407 Kings Plz	1
2880 NE 8th St	1
Other values (718)	718

Length

Max length	30
Median length	16
Mean length	16.52209945
Min length	7

Characters and Unicode

Total characters	11962
Distinct characters	65
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	722 ?
Unique (%)	99.7%

Sample

1st row	265 W Oakland Park Blvd
2nd row	326 Indian Trce
3rd row	1020 Weston Rd
4th row	9835 Okeechobee Blvd
5th row	828 S Military Trl

Value	Count	Frequency (%)
806 W Merrick Rd	2	0.3%
428 Grand St	1	0.1%
1501 Main St	1	0.1%
5407 Kings Plz	1	0.1%
2880 NE 8th St	1	0.1%
460 Hialeah Dr	1	0.1%
5121 5th Ave	1	0.1%
1946 Wantagh Ave	1	0.1%
7602 Flatlands Ave	1	0.1%
1831 State Route 35	1	0.1%
Other values (713)	713	98.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
ave	184	7.0%
st	135	5.1%
rd	86	3.3%
blvd	78	3.0%
w	69	2.6%
s	44	1.7%
route	41	1.6%
hwy	36	1.4%
state	35	1.3%
	34	1.3%
Other values (1071)	1882	71.7%

Most occurring characters

Value	Count	Frequency (%)
	1900	15.9%
e	667	5.6%
t	581	4.9%
1	580	4.8%
a	476	4.0%
0	429	3.6%
r	356	3.0%
d	343	2.9%
n	327	2.7%
2	326	2.7%
Other values (55)	5977	50.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5213	43.6%
Decimal Number	3078	25.7%
Space Separator	1900	15.9%
Uppercase Letter	1724	14.4%
Other Punctuation	35	0.3%
Dash Punctuation	12	0.1%

Most frequent character per category

Value	Count	Frequency (%)
S	325	18.9%
A	216	12.5%
R	162	9.4%
W	160	9.3%
B	144	8.4%
H	99	5.7%
N	99	5.7%
M	69	4.0%
C	58	3.4%
P	54	3.1%
Other values (16)	338	19.6%

Value	Count	Frequency (%)
e	667	12.8%
t	581	11.1%
a	476	9.1%
r	356	6.8%
d	343	6.6%
n	327	6.3%
o	311	6.0%
l	302	5.8%
i	301	5.8%
v	288	5.5%
Other values (15)	1261	24.2%

Value	Count	Frequency (%)
1	580	18.8%
0	429	13.9%
2	326	10.6%
5	313	10.2%
3	310	10.1%
4	254	8.3%
6	236	7.7%
8	219	7.1%
7	218	7.1%
9	193	6.3%

Value	Count	Frequency (%)
#	32	91.4%
&	3	8.6%

Value	Count	Frequency (%)
	1900	100.0%

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6937	58.0%
Common	5025	42.0%

Most frequent character per script

Value	Count	Frequency (%)
e	667	9.6%
t	581	8.4%
a	476	6.9%
r	356	5.1%
d	343	4.9%
n	327	4.7%
S	325	4.7%
o	311	4.5%
l	302	4.4%
i	301	4.3%
Other values (41)	2948	42.5%

Value	Count	Frequency (%)
	1900	37.8%
1	580	11.5%
0	429	8.5%
2	326	6.5%
5	313	6.2%
3	310	6.2%
4	254	5.1%
6	236	4.7%
8	219	4.4%
7	218	4.3%
Other values (4)	240	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11962	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	1900	15.9%
e	667	5.6%
t	581	4.9%
1	580	4.8%
a	476	4.0%
0	429	3.6%
r	356	3.0%
d	343	2.9%
n	327	2.7%
2	326	2.7%
Other values (55)	5977	50.0%

City
Categorical

HIGH CARDINALITY

Distinct	314
Distinct (%)	43.4%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

New York	52
Brooklyn	50
Miami	50
Bronx	39
Hialeah	16
Other values (309)	517

Length

Max length	22
Median length	8
Mean length	9.23480663
Min length	5

Characters and Unicode

Total characters	6686
Distinct characters	50
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	222 ?
Unique (%)	30.7%

Sample

1st row	Wilton Manors
2nd row	Weston
3rd row	Weston
4th row	West Palm Beach
5th row	West Palm Beach

Value	Count	Frequency (%)
New York	52	7.2%
Brooklyn	50	6.9%
Miami	50	6.9%
Bronx	39	5.4%
Hialeah	16	2.2%
Fort Lauderdale	13	1.8%
West Palm Beach	11	1.5%
Jamaica	10	1.4%
Newark	10	1.4%
Jersey City	9	1.2%
Other values (304)	464	64.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
miami	65	6.2%
new	59	5.6%
york	53	5.0%
brooklyn	50	4.8%
beach	48	4.6%
bronx	39	3.7%
city	20	1.9%
west	18	1.7%
palm	17	1.6%
lauderdale	16	1.5%
Other values (322)	667	63.4%

Most occurring characters

Value	Count	Frequency (%)
a	607	9.1%
e	578	8.6%
o	547	8.2%
r	478	7.1%
i	405	6.1%
n	396	5.9%
l	350	5.2%
	328	4.9%
t	281	4.2%
s	218	3.3%
Other values (40)	2498	37.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5306	79.4%
Uppercase Letter	1052	15.7%
Space Separator	328	4.9%

Most frequent character per category

Value	Count	Frequency (%)
a	607	11.4%
e	578	10.9%
o	547	10.3%
r	478	9.0%
i	405	7.6%
n	396	7.5%
l	350	6.6%
t	281	5.3%
s	218	4.1%
k	198	3.7%
Other values (15)	1248	23.5%

Value	Count	Frequency (%)
B	194	18.4%
M	102	9.7%
N	94	8.9%
P	79	7.5%
H	67	6.4%
C	60	5.7%
Y	58	5.5%
S	55	5.2%
L	53	5.0%
R	43	4.1%
Other values (14)	247	23.5%

Value	Count	Frequency (%)
	328	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6358	95.1%
Common	328	4.9%

Most frequent character per script

Value	Count	Frequency (%)
a	607	9.5%
e	578	9.1%
o	547	8.6%
r	478	7.5%
i	405	6.4%
n	396	6.2%
l	350	5.5%
t	281	4.4%
s	218	3.4%
k	198	3.1%
Other values (39)	2300	36.2%

Value	Count	Frequency (%)
	328	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6686	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	607	9.1%
e	578	8.6%
o	547	8.2%
r	478	7.1%
i	405	6.1%
n	396	5.9%
l	350	5.2%
	328	4.9%
t	281	4.2%
s	218	3.3%
Other values (40)	2498	37.4%

State
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

NY	308
FL	237
NJ	177
PA	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1448
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FL
2nd row	FL
3rd row	FL
4th row	FL
5th row	FL

Value	Count	Frequency (%)
NY	308	42.5%
FL	237	32.7%
NJ	177	24.4%
PA	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
ny	308	42.5%
fl	237	32.7%
nj	177	24.4%
pa	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
N	485	33.5%
Y	308	21.3%
F	237	16.4%
L	237	16.4%
J	177	12.2%
P	2	0.1%
A	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1448	100.0%

Most frequent character per category

Value	Count	Frequency (%)
N	485	33.5%
Y	308	21.3%
F	237	16.4%
L	237	16.4%
J	177	12.2%
P	2	0.1%
A	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1448	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	485	33.5%
Y	308	21.3%
F	237	16.4%
L	237	16.4%
J	177	12.2%
P	2	0.1%
A	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1448	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	485	33.5%
Y	308	21.3%
F	237	16.4%
L	237	16.4%
J	177	12.2%
P	2	0.1%
A	2	0.1%

County
Categorical

HIGH CORRELATION

Distinct	26
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

Miami Dade	105
Broward	80
Palm Beach	52
New York	52
Kings	50
Other values (21)	385

Length

Max length	11
Median length	7
Mean length	7.364640884
Min length	4

Characters and Unicode

Total characters	5332
Distinct characters	35
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Broward
2nd row	Broward
3rd row	Broward
4th row	Palm Beach
5th row	Palm Beach

Value	Count	Frequency (%)
Miami Dade	105	14.5%
Broward	80	11.0%
Palm Beach	52	7.2%
New York	52	7.2%
Kings	50	6.9%
Queens	47	6.5%
Suffolk	47	6.5%
Bronx	39	5.4%
Nassau	36	5.0%
Middlesex	23	3.2%
Other values (16)	193	26.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
miami	105	11.3%
dade	105	11.3%
broward	80	8.6%
new	52	5.6%
beach	52	5.6%
york	52	5.6%
palm	52	5.6%
kings	50	5.4%
queens	47	5.0%
suffolk	47	5.0%
Other values (19)	291	31.2%

Most occurring characters

Value	Count	Frequency (%)
a	514	9.6%
e	509	9.5%
s	340	6.4%
o	337	6.3%
i	336	6.3%
r	335	6.3%
n	270	5.1%
d	265	5.0%
	209	3.9%
m	196	3.7%
Other values (25)	2021	37.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4190	78.6%
Uppercase Letter	933	17.5%
Space Separator	209	3.9%

Most frequent character per category

Value	Count	Frequency (%)
a	514	12.3%
e	509	12.1%
s	340	8.1%
o	337	8.0%
i	336	8.0%
r	335	8.0%
n	270	6.4%
d	265	6.3%
m	196	4.7%
u	179	4.3%
Other values (9)	909	21.7%

Value	Count	Frequency (%)
B	190	20.4%
M	167	17.9%
D	105	11.3%
N	88	9.4%
P	67	7.2%
S	58	6.2%
Y	52	5.6%
K	50	5.4%
Q	47	5.0%
H	20	2.1%
Other values (5)	89	9.5%

Value	Count	Frequency (%)
	209	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5123	96.1%
Common	209	3.9%

Most frequent character per script

Value	Count	Frequency (%)
a	514	10.0%
e	509	9.9%
s	340	6.6%
o	337	6.6%
i	336	6.6%
r	335	6.5%
n	270	5.3%
d	265	5.2%
m	196	3.8%
B	190	3.7%
Other values (24)	1831	35.7%

Value	Count	Frequency (%)
	209	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5332	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	514	9.6%
e	509	9.5%
s	340	6.4%
o	337	6.3%
i	336	6.3%
r	335	6.3%
n	270	5.1%
d	265	5.0%
	209	3.9%
m	196	3.7%
Other values (25)	2021	37.9%

Metro Area
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

Nw Yrk, NY-NJ-PA	487
Miami-Ft Ldr, FL	237

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	11584
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Miami-Ft Ldr, FL
2nd row	Miami-Ft Ldr, FL
3rd row	Miami-Ft Ldr, FL
4th row	Miami-Ft Ldr, FL
5th row	Miami-Ft Ldr, FL

Value	Count	Frequency (%)
Nw Yrk, NY-NJ-PA	487	67.3%
Miami-Ft Ldr, FL	237	32.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
ny-nj-pa	487	22.4%
yrk	487	22.4%
nw	487	22.4%
miami-ft	237	10.9%
fl	237	10.9%
ldr	237	10.9%

Most occurring characters

Value	Count	Frequency (%)
N	1461	12.6%
	1448	12.5%
-	1211	10.5%
Y	974	8.4%
r	724	6.2%
,	724	6.2%
w	487	4.2%
k	487	4.2%
J	487	4.2%
P	487	4.2%
Other values (9)	3094	26.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	5081	43.9%
Lowercase Letter	3120	26.9%
Space Separator	1448	12.5%
Dash Punctuation	1211	10.5%
Other Punctuation	724	6.2%

Most frequent character per category

Value	Count	Frequency (%)
N	1461	28.8%
Y	974	19.2%
J	487	9.6%
P	487	9.6%
A	487	9.6%
F	474	9.3%
L	474	9.3%
M	237	4.7%

Value	Count	Frequency (%)
r	724	23.2%
w	487	15.6%
k	487	15.6%
i	474	15.2%
a	237	7.6%
m	237	7.6%
t	237	7.6%
d	237	7.6%

Value	Count	Frequency (%)
-	1211	100.0%

Value	Count	Frequency (%)
	1448	100.0%

Value	Count	Frequency (%)
,	724	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8201	70.8%
Common	3383	29.2%

Most frequent character per script

Value	Count	Frequency (%)
N	1461	17.8%
Y	974	11.9%
r	724	8.8%
w	487	5.9%
k	487	5.9%
J	487	5.9%
P	487	5.9%
A	487	5.9%
i	474	5.8%
F	474	5.8%
Other values (6)	1659	20.2%

Value	Count	Frequency (%)
	1448	42.8%
-	1211	35.8%
,	724	21.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11584	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	1461	12.6%
	1448	12.5%
-	1211	10.5%
Y	974	8.4%
r	724	6.2%
,	724	6.2%
w	487	4.2%
k	487	4.2%
J	487	4.2%
P	487	4.2%
Other values (9)	3094	26.7%

Neighborhood
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	349
Distinct (%)	81.4%
Missing	295
Missing (%)	40.7%
Memory size	5.8 KiB

Theater District	5
Central Harlem	4
East Harlem	4
Midtown East	4
Garment District	4
Other values (344)	408

Length

Max length	39
Median length	12
Mean length	12.62470862
Min length	4

Characters and Unicode

Total characters	5416
Distinct characters	54
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	291 ?
Unique (%)	67.8%

Sample

1st row	Sleepy River
2nd row	Weston
3rd row	Baywinds
4th row	Golden Lakes
5th row	Shoppes At Cresthaven

Value	Count	Frequency (%)
Theater District	5	0.7%
Central Harlem	4	0.6%
East Harlem	4	0.6%
Midtown East	4	0.6%
Garment District	4	0.6%
Valley Stream	3	0.4%
Canarsie	3	0.4%
Astoria	3	0.4%
Bedford-Stuyvesant	3	0.4%
Cutler Bay	3	0.4%
Other values (339)	393	54.3%
(Missing)	295	40.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
east	29	3.7%
park	25	3.2%
heights	21	2.6%
west	19	2.4%
north	15	1.9%
bay	14	1.8%
district	14	1.8%
miami	13	1.6%
south	13	1.6%
center	11	1.4%
Other values (372)	619	78.1%

Most occurring characters

Value	Count	Frequency (%)
e	502	9.3%
a	433	8.0%
r	367	6.8%
t	367	6.8%
	364	6.7%
o	342	6.3%
i	323	6.0%
n	297	5.5%
s	286	5.3%
l	259	4.8%
Other values (44)	1876	34.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4238	78.2%
Uppercase Letter	799	14.8%
Space Separator	364	6.7%
Dash Punctuation	8	0.1%
Decimal Number	6	0.1%
Other Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	502	11.8%
a	433	10.2%
r	367	8.7%
t	367	8.7%
o	342	8.1%
i	323	7.6%
n	297	7.0%
s	286	6.7%
l	259	6.1%
h	146	3.4%
Other values (15)	916	21.6%

Value	Count	Frequency (%)
C	92	11.5%
S	73	9.1%
B	63	7.9%
H	61	7.6%
P	60	7.5%
W	47	5.9%
E	44	5.5%
M	43	5.4%
G	40	5.0%
F	35	4.4%
Other values (14)	241	30.2%

Value	Count	Frequency (%)
4	4	66.7%
1	2	33.3%

Value	Count	Frequency (%)
	364	100.0%

Value	Count	Frequency (%)
-	8	100.0%

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5037	93.0%
Common	379	7.0%

Most frequent character per script

Value	Count	Frequency (%)
e	502	10.0%
a	433	8.6%
r	367	7.3%
t	367	7.3%
o	342	6.8%
i	323	6.4%
n	297	5.9%
s	286	5.7%
l	259	5.1%
h	146	2.9%
Other values (39)	1715	34.0%

Value	Count	Frequency (%)
	364	96.0%
-	8	2.1%
4	4	1.1%
1	2	0.5%
.	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5416	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	502	9.3%
a	433	8.0%
r	367	6.8%
t	367	6.8%
	364	6.7%
o	342	6.3%
i	323	6.0%
n	297	5.5%
s	286	5.3%
l	259	4.8%
Other values (44)	1876	34.6%

ZIP Code
Real number (ℝ_≥0)

Distinct	505
Distinct (%)	69.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	17499.58564
Minimum	7001
Maximum	33498
Zeros	0
Zeros (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	7001
5-th percentile	7093.15
Q1	10001
median	11236.5
Q3	33067.25
95-th percentile	33413.85
Maximum	33498
Range	26497
Interquartile range (IQR)	23066.25

Descriptive statistics

Standard deviation	11068.42725
Coefficient of variation (CV)	0.6324965335
Kurtosis	-1.461343008
Mean	17499.58564
Median Absolute Deviation (MAD)	3361.5
Skewness	0.6826024982
Sum	12669700
Variance	122510081.8
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10001	5	0.7%
33012	5	0.7%
33414	4	0.6%
33126	4	0.6%
33157	4	0.6%
33351	4	0.6%
10036	4	0.6%
10467	4	0.6%
8753	4	0.6%
33411	4	0.6%
Other values (495)	682	94.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7001	1	0.1%
7002	2	0.3%
7003	2	0.3%
7004	1	0.1%
7005	1	0.1%

Value	Count	Frequency (%)
33498	1	0.1%
33496	1	0.1%
33486	1	0.1%
33484	1	0.1%
33483	1	0.1%

ZIP Four
Real number (ℝ_≥0)

MISSING

Distinct	611
Distinct (%)	90.1%
Missing	46
Missing (%)	6.4%
Infinite	0
Infinite (%)	0.0%

Mean	3676.365782
Minimum	1001
Maximum	9847
Zeros	0
Zeros (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	1001
5-th percentile	1207.7
Q1	2111.5
median	3320
Q3	4914.75
95-th percentile	7200.45
Maximum	9847
Range	8846
Interquartile range (IQR)	2803.25

Descriptive statistics

Standard deviation	1899.1994
Coefficient of variation (CV)	0.5165969635
Kurtosis	0.0960931031
Mean	3676.365782
Median Absolute Deviation (MAD)	1319
Skewness	0.7559688044
Sum	2492576
Variance	3606958.359
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1302	3	0.4%
3201	3	0.4%
2101	3	0.4%
2011	3	0.4%
4401	3	0.4%
6002	3	0.4%
4829	3	0.4%
1906	2	0.3%
4709	2	0.3%
2401	2	0.3%
Other values (601)	651	89.9%
(Missing)	46	6.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1001	1	0.1%
1003	1	0.1%
1004	2	0.3%
1006	1	0.1%
1010	1	0.1%

Value	Count	Frequency (%)
9847	1	0.1%
9784	1	0.1%
9548	1	0.1%
9501	1	0.1%
9494	1	0.1%

Year Established
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	71.4%
Missing	703
Missing (%)	97.1%
Infinite	0
Infinite (%)	0.0%

Mean	2004
Minimum	1975
Maximum	2019
Zeros	0
Zeros (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	1975
5-th percentile	1989
Q1	1999
median	2004
Q3	2015
95-th percentile	2017
Maximum	2019
Range	44
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	10.9270307
Coefficient of variation (CV)	0.005452610132
Kurtosis	1.056861639
Mean	2004
Median Absolute Deviation (MAD)	6
Skewness	-0.8493504161
Sum	42084
Variance	119.4
Monotocity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1989	2	0.3%
2003	2	0.3%
2008	2	0.3%
2015	2	0.3%
2004	2	0.3%
2016	2	0.3%
2007	1	0.1%
2019	1	0.1%
1998	1	0.1%
2017	1	0.1%
Other values (5)	5	0.7%
(Missing)	703	97.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1975	1	0.1%
1989	2	0.3%
1997	1	0.1%
1998	1	0.1%
1999	1	0.1%

Value	Count	Frequency (%)
2019	1	0.1%
2017	1	0.1%
2016	2	0.3%
2015	2	0.3%
2008	2	0.3%

Years In Database
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	37
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	24.45165746
Minimum	1
Maximum	37
Zeros	0
Zeros (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	1
5-th percentile	7.15
Q1	15.75
median	26
Q3	35
95-th percentile	37
Maximum	37
Range	36
Interquartile range (IQR)	19.25

Descriptive statistics

Standard deviation	10.12571791
Coefficient of variation (CV)	0.4141117194
Kurtosis	-1.077516639
Mean	24.45165746
Median Absolute Deviation (MAD)	10
Skewness	-0.2935490153
Sum	17703
Variance	102.5301632
Monotocity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
37	152	21.0%
12	42	5.8%
28	39	5.4%
24	30	4.1%
13	29	4.0%
14	26	3.6%
36	25	3.5%
25	24	3.3%
26	24	3.3%
27	23	3.2%
Other values (27)	310	42.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4	0.6%
2	5	0.7%
3	1	0.1%
4	5	0.7%
5	5	0.7%

Value	Count	Frequency (%)
37	152	21.0%
36	25	3.5%
35	10	1.4%
34	14	1.9%
33	8	1.1%

Company Name
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

Mc Donald's	712
Mc Donald's Corporate Office	7
Mc Donald Shipper Air Freight	1
Mcdonald's Academy	1
Mc Donald's Bbq	1
Other values (2)	2

Length

Max length	29
Median length	11
Mean length	11.21685083
Min length	10

Characters and Unicode

Total characters	8121
Distinct characters	31
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.7%

Sample

1st row	Mc Donald's
2nd row	Mc Donald's
3rd row	Mc Donald's
4th row	Mc Donald's
5th row	Mc Donald's

Value	Count	Frequency (%)
Mc Donald's	712	98.3%
Mc Donald's Corporate Office	7	1.0%
Mc Donald Shipper Air Freight	1	0.1%
Mcdonald's Academy	1	0.1%
Mc Donald's Bbq	1	0.1%
Mcdonalds Restaurants	1	0.1%
Mc Donalds	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
mc	722	49.2%
donald's	720	49.1%
corporate	7	0.5%
office	7	0.5%
bbq	1	0.1%
donalds	1	0.1%
restaurants	1	0.1%
mcdonalds	1	0.1%
academy	1	0.1%
freight	1	0.1%
Other values (4)	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
	742	9.1%
o	738	9.1%
a	734	9.0%
c	732	9.0%
d	727	9.0%
n	725	8.9%
s	725	8.9%
M	724	8.9%
l	724	8.9%
D	722	8.9%
Other values (21)	828	10.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5192	63.9%
Uppercase Letter	1466	18.1%
Space Separator	742	9.1%
Other Punctuation	721	8.9%

Most frequent character per category

Value	Count	Frequency (%)
o	738	14.2%
a	734	14.1%
c	732	14.1%
d	727	14.0%
n	725	14.0%
s	725	14.0%
l	724	13.9%
r	18	0.3%
e	18	0.3%
f	14	0.3%
Other values (10)	37	0.7%

Value	Count	Frequency (%)
M	724	49.4%
D	722	49.2%
C	7	0.5%
O	7	0.5%
A	2	0.1%
R	1	0.1%
B	1	0.1%
S	1	0.1%
F	1	0.1%

Value	Count	Frequency (%)
	742	100.0%

Value	Count	Frequency (%)
'	721	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6658	82.0%
Common	1463	18.0%

Most frequent character per script

Value	Count	Frequency (%)
o	738	11.1%
a	734	11.0%
c	732	11.0%
d	727	10.9%
n	725	10.9%
s	725	10.9%
M	724	10.9%
l	724	10.9%
D	722	10.8%
r	18	0.3%
Other values (19)	89	1.3%

Value	Count	Frequency (%)
	742	50.7%
'	721	49.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8121	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	742	9.1%
o	738	9.1%
a	734	9.0%
c	732	9.0%
d	727	9.0%
n	725	8.9%
s	725	8.9%
M	724	8.9%
l	724	8.9%
D	722	8.9%
Other values (21)	828	10.2%

Computer Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$2,500 to $5,000	482
$5,000 to $10,000	136
$1,000 to $2,500	90
$500 to $1,000	7
Less than $500	7

Length

Max length	17
Median length	16
Mean length	16.14958449
Min length	14

Characters and Unicode

Total characters	11660
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$1,000 to $2,500
2nd row	$2,500 to $5,000
3rd row	$2,500 to $5,000
4th row	$2,500 to $5,000
5th row	$2,500 to $5,000

Value	Count	Frequency (%)
$2,500 to $5,000	482	66.6%
$5,000 to $10,000	136	18.8%
$1,000 to $2,500	90	12.4%
$500 to $1,000	7	1.0%
Less than $500	7	1.0%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	715	33.0%
5,000	618	28.5%
2,500	572	26.4%
10,000	136	6.3%
1,000	97	4.5%
500	14	0.6%
less	7	0.3%
than	7	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	3861	33.1%
	1444	12.4%
$	1437	12.3%
,	1423	12.2%
5	1204	10.3%
t	722	6.2%
o	715	6.1%
2	572	4.9%
1	233	2.0%
s	14	0.1%
Other values (5)	35	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5870	50.3%
Lowercase Letter	1479	12.7%
Space Separator	1444	12.4%
Currency Symbol	1437	12.3%
Other Punctuation	1423	12.2%
Uppercase Letter	7	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	722	48.8%
o	715	48.3%
s	14	0.9%
e	7	0.5%
h	7	0.5%
a	7	0.5%
n	7	0.5%

Value	Count	Frequency (%)
0	3861	65.8%
5	1204	20.5%
2	572	9.7%
1	233	4.0%

Value	Count	Frequency (%)
$	1437	100.0%

Value	Count	Frequency (%)
,	1423	100.0%

Value	Count	Frequency (%)
	1444	100.0%

Value	Count	Frequency (%)
L	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10174	87.3%
Latin	1486	12.7%

Most frequent character per script

Value	Count	Frequency (%)
t	722	48.6%
o	715	48.1%
s	14	0.9%
L	7	0.5%
e	7	0.5%
h	7	0.5%
a	7	0.5%
n	7	0.5%

Value	Count	Frequency (%)
0	3861	37.9%
	1444	14.2%
$	1437	14.1%
,	1423	14.0%
5	1204	11.8%
2	572	5.6%
1	233	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11660	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	3861	33.1%
	1444	12.4%
$	1437	12.3%
,	1423	12.2%
5	1204	10.3%
t	722	6.2%
o	715	6.1%
2	572	4.9%
1	233	2.0%
s	14	0.1%
Other values (5)	35	0.3%

Contract Labor Expenses
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.4%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$1,000 to $10,000	538
$10,000 to $50,000	177
Less than $1,000	7

Length

Max length	18
Median length	17
Mean length	17.23545706
Min length	16

Characters and Unicode

Total characters	12444
Distinct characters	14
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$1,000 to $10,000
2nd row	$1,000 to $10,000
3rd row	$1,000 to $10,000
4th row	$1,000 to $10,000
5th row	$1,000 to $10,000

Value	Count	Frequency (%)
$1,000 to $10,000	538	74.3%
$10,000 to $50,000	177	24.4%
Less than $1,000	7	1.0%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
10,000	715	33.0%
to	715	33.0%
1,000	545	25.2%
50,000	177	8.2%
less	7	0.3%
than	7	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	5203	41.8%
	1444	11.6%
$	1437	11.5%
,	1437	11.5%
1	1260	10.1%
t	722	5.8%
o	715	5.7%
5	177	1.4%
s	14	0.1%
L	7	0.1%
Other values (4)	28	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6640	53.4%
Lowercase Letter	1479	11.9%
Space Separator	1444	11.6%
Currency Symbol	1437	11.5%
Other Punctuation	1437	11.5%
Uppercase Letter	7	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	722	48.8%
o	715	48.3%
s	14	0.9%
e	7	0.5%
h	7	0.5%
a	7	0.5%
n	7	0.5%

Value	Count	Frequency (%)
0	5203	78.4%
1	1260	19.0%
5	177	2.7%

Value	Count	Frequency (%)
$	1437	100.0%

Value	Count	Frequency (%)
,	1437	100.0%

Value	Count	Frequency (%)
	1444	100.0%

Value	Count	Frequency (%)
L	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10958	88.1%
Latin	1486	11.9%

Most frequent character per script

Value	Count	Frequency (%)
t	722	48.6%
o	715	48.1%
s	14	0.9%
L	7	0.5%
e	7	0.5%
h	7	0.5%
a	7	0.5%
n	7	0.5%

Value	Count	Frequency (%)
0	5203	47.5%
	1444	13.2%
$	1437	13.1%
,	1437	13.1%
1	1260	11.5%
5	177	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12444	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	5203	41.8%
	1444	11.6%
$	1437	11.5%
,	1437	11.5%
1	1260	10.1%
t	722	5.8%
o	715	5.7%
5	177	1.4%
s	14	0.1%
L	7	0.1%
Other values (4)	28	0.2%

Corporate Sales Volume Actual
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

$0	724

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1448
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$0
2nd row	$0
3rd row	$0
4th row	$0
5th row	$0

Value	Count	Frequency (%)
$0	724	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	724	100.0%

Most occurring characters

Value	Count	Frequency (%)
$	724	50.0%
0	724	50.0%

Most occurring categories

Value	Count	Frequency (%)
Currency Symbol	724	50.0%
Decimal Number	724	50.0%

Most frequent character per category

Value	Count	Frequency (%)
$	724	100.0%

Value	Count	Frequency (%)
0	724	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1448	100.0%

Most frequent character per script

Value	Count	Frequency (%)
$	724	50.0%
0	724	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1448	100.0%

Most frequent character per block

Value	Count	Frequency (%)
$	724	50.0%
0	724	50.0%

Insurance Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$25,000 to $50,000	478
$50,000 to $100,000	141
$10,000 to $25,000	88
$2,500 to $5,000	8
$5,000 to $10,000	7

Length

Max length	19
Median length	18
Mean length	18.1634349
Min length	16

Characters and Unicode

Total characters	13114
Distinct characters	9
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$10,000 to $25,000
2nd row	$25,000 to $50,000
3rd row	$25,000 to $50,000
4th row	$25,000 to $50,000
5th row	$25,000 to $50,000

Value	Count	Frequency (%)
$25,000 to $50,000	478	66.0%
$50,000 to $100,000	141	19.5%
$10,000 to $25,000	88	12.2%
$2,500 to $5,000	8	1.1%
$5,000 to $10,000	7	1.0%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	722	33.3%
50,000	619	28.6%
25,000	566	26.1%
100,000	141	6.5%
10,000	95	4.4%
5,000	15	0.7%
2,500	8	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	5320	40.6%
$	1444	11.0%
,	1444	11.0%
	1444	11.0%
5	1208	9.2%
t	722	5.5%
o	722	5.5%
2	574	4.4%
1	236	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7338	56.0%
Currency Symbol	1444	11.0%
Other Punctuation	1444	11.0%
Space Separator	1444	11.0%
Lowercase Letter	1444	11.0%

Most frequent character per category

Value	Count	Frequency (%)
0	5320	72.5%
5	1208	16.5%
2	574	7.8%
1	236	3.2%

Value	Count	Frequency (%)
t	722	50.0%
o	722	50.0%

Value	Count	Frequency (%)
$	1444	100.0%

Value	Count	Frequency (%)
,	1444	100.0%

Value	Count	Frequency (%)
	1444	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11670	89.0%
Latin	1444	11.0%

Most frequent character per script

Value	Count	Frequency (%)
0	5320	45.6%
$	1444	12.4%
,	1444	12.4%
	1444	12.4%
5	1208	10.4%
2	574	4.9%
1	236	2.0%

Value	Count	Frequency (%)
t	722	50.0%
o	722	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13114	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	5320	40.6%
$	1444	11.0%
,	1444	11.0%
	1444	11.0%
5	1208	9.2%
t	722	5.5%
o	722	5.5%
2	574	4.4%
1	236	1.8%

Last Updated On
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	202009.692
Minimum	201910
Maximum	202012
Zeros	0
Zeros (%)	0.0%
Memory size	5.8 KiB

Quantile statistics

Minimum	201910
5-th percentile	202010
Q1	202010
median	202010
Q3	202010
95-th percentile	202010
Maximum	202012
Range	102
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	5.278720236
Coefficient of variation (CV)	2.613102462 × 10⁵
Kurtosis	344.8292844
Mean	202009.692
Median Absolute Deviation (MAD)	0
Skewness	-18.42166086
Sum	146255017
Variance	27.86488732
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
202010	675	93.2%
202011	21	2.9%
202012	11	1.5%
202006	7	1.0%
202007	5	0.7%
202002	3	0.4%
201911	1	0.1%
201910	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
201910	1	0.1%
201911	1	0.1%
202002	3	0.4%
202006	7	1.0%
202007	5	0.7%

Value	Count	Frequency (%)
202012	11	1.5%
202011	21	2.9%
202010	675	93.2%
202007	5	0.7%
202006	7	1.0%

Legal Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	3
Missing (%)	0.4%
Memory size	5.8 KiB

$2,500 to $5,000	485
$5,000 to $10,000	117
$1,000 to $2,500	105
$500 to $1,000	7
Less than $500	7

Length

Max length	17
Median length	16
Mean length	16.12343967
Min length	14

Characters and Unicode

Total characters	11625
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$1,000 to $2,500
2nd row	$2,500 to $5,000
3rd row	$2,500 to $5,000
4th row	$2,500 to $5,000
5th row	$2,500 to $5,000

Value	Count	Frequency (%)
$2,500 to $5,000	485	67.0%
$5,000 to $10,000	117	16.2%
$1,000 to $2,500	105	14.5%
$500 to $1,000	7	1.0%
Less than $500	7	1.0%
(Missing)	3	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	714	33.0%
5,000	602	27.8%
2,500	590	27.3%
10,000	117	5.4%
1,000	112	5.2%
500	14	0.6%
less	7	0.3%
than	7	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	3818	32.8%
	1442	12.4%
$	1435	12.3%
,	1421	12.2%
5	1206	10.4%
t	721	6.2%
o	714	6.1%
2	590	5.1%
1	229	2.0%
s	14	0.1%
Other values (5)	35	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5843	50.3%
Lowercase Letter	1477	12.7%
Space Separator	1442	12.4%
Currency Symbol	1435	12.3%
Other Punctuation	1421	12.2%
Uppercase Letter	7	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	721	48.8%
o	714	48.3%
s	14	0.9%
e	7	0.5%
h	7	0.5%
a	7	0.5%
n	7	0.5%

Value	Count	Frequency (%)
0	3818	65.3%
5	1206	20.6%
2	590	10.1%
1	229	3.9%

Value	Count	Frequency (%)
$	1435	100.0%

Value	Count	Frequency (%)
,	1421	100.0%

Value	Count	Frequency (%)
	1442	100.0%

Value	Count	Frequency (%)
L	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10141	87.2%
Latin	1484	12.8%

Most frequent character per script

Value	Count	Frequency (%)
t	721	48.6%
o	714	48.1%
s	14	0.9%
L	7	0.5%
e	7	0.5%
h	7	0.5%
a	7	0.5%
n	7	0.5%

Value	Count	Frequency (%)
0	3818	37.6%
	1442	14.2%
$	1435	14.2%
,	1421	14.0%
5	1206	11.9%
2	590	5.8%
1	229	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11625	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	3818	32.8%
	1442	12.4%
$	1435	12.3%
,	1421	12.2%
5	1206	10.4%
t	721	6.2%
o	714	6.1%
2	590	5.1%
1	229	2.0%
s	14	0.1%
Other values (5)	35	0.3%

Location Employee Size Actual
Real number (ℝ_≥0)

Distinct	75
Distinct (%)	10.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	45.74447514
Minimum	0
Maximum	175
Zeros	1
Zeros (%)	0.1%
Memory size	5.8 KiB

Quantile statistics

Minimum	0
5-th percentile	21.15
Q1	37
median	45
Q3	54
95-th percentile	74.85
Maximum	175
Range	175
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	15.91774013
Coefficient of variation (CV)	0.3479707676
Kurtosis	6.227204145
Mean	45.74447514
Median Absolute Deviation (MAD)	9
Skewness	0.8491330689
Sum	33119
Variance	253.3744508
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	151	20.9%
50	63	8.7%
40	44	6.1%
60	42	5.8%
30	34	4.7%
35	32	4.4%
42	22	3.0%
65	21	2.9%
55	20	2.8%
25	16	2.2%
Other values (65)	279	38.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
2	1	0.1%
4	2	0.3%
5	6	0.8%
6	1	0.1%

Value	Count	Frequency (%)
175	1	0.1%
100	2	0.3%
90	1	0.1%
86	1	0.1%
85	4	0.6%

Location Employee Size Range
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.8%
Missing	1
Missing (%)	0.1%
Memory size	5.8 KiB

20 to 49	435
50 to 99	260
10 to 19	12
5 to 9	10
100 to 249	3

Length

Max length	10
Median length	8
Mean length	7.972337483
Min length	6

Characters and Unicode

Total characters	5764
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20 to 49
2nd row	20 to 49
3rd row	50 to 99
4th row	20 to 49
5th row	50 to 99

Value	Count	Frequency (%)
20 to 49	435	60.1%
50 to 99	260	35.9%
10 to 19	12	1.7%
5 to 9	10	1.4%
100 to 249	3	0.4%
1 to 4	3	0.4%
(Missing)	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	723	33.3%
49	435	20.1%
20	435	20.1%
50	260	12.0%
99	260	12.0%
19	12	0.6%
10	12	0.6%
9	10	0.5%
5	10	0.5%
1	3	0.1%
Other values (3)	9	0.4%

Most occurring characters

Value	Count	Frequency (%)
	1446	25.1%
9	980	17.0%
t	723	12.5%
o	723	12.5%
0	713	12.4%
4	441	7.7%
2	438	7.6%
5	270	4.7%
1	30	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2872	49.8%
Space Separator	1446	25.1%
Lowercase Letter	1446	25.1%

Most frequent character per category

Value	Count	Frequency (%)
9	980	34.1%
0	713	24.8%
4	441	15.4%
2	438	15.3%
5	270	9.4%
1	30	1.0%

Value	Count	Frequency (%)
t	723	50.0%
o	723	50.0%

Value	Count	Frequency (%)
	1446	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4318	74.9%
Latin	1446	25.1%

Most frequent character per script

Value	Count	Frequency (%)
	1446	33.5%
9	980	22.7%
0	713	16.5%
4	441	10.2%
2	438	10.1%
5	270	6.3%
1	30	0.7%

Value	Count	Frequency (%)
t	723	50.0%
o	723	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5764	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	1446	25.1%
9	980	17.0%
t	723	12.5%
o	723	12.5%
0	713	12.4%
4	441	7.7%
2	438	7.6%
5	270	4.7%
1	30	0.5%

Location Sales Volume Actual
Categorical

HIGH CARDINALITY

Distinct	344
Distinct (%)	47.5%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

$4,188,000	42
$2,337,000	21
$2,345,000	16
$3,713,000	14
$2,134,000	12
Other values (339)	619

Length

Max length	10
Median length	10
Mean length	9.91160221
Min length	2

Characters and Unicode

Total characters	7176
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	211 ?
Unique (%)	29.1%

Sample

1st row	$1,564,000
2nd row	$2,554,000
3rd row	$2,606,000
4th row	$2,372,000
5th row	$2,952,000

Value	Count	Frequency (%)
$4,188,000	42	5.8%
$2,337,000	21	2.9%
$2,345,000	16	2.2%
$3,713,000	14	1.9%
$2,134,000	12	1.7%
$2,606,000	11	1.5%
$2,372,000	11	1.5%
$2,031,000	10	1.4%
$2,091,000	9	1.2%
$2,324,000	8	1.1%
Other values (334)	570	78.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
4,188,000	42	5.8%
2,337,000	21	2.9%
2,345,000	16	2.2%
3,713,000	14	1.9%
2,134,000	12	1.7%
2,606,000	11	1.5%
2,372,000	11	1.5%
2,031,000	10	1.4%
2,091,000	9	1.2%
2,182,000	8	1.1%
Other values (334)	570	78.7%

Most occurring characters

Value	Count	Frequency (%)
0	2343	32.7%
,	1420	19.8%
$	724	10.1%
2	547	7.6%
1	414	5.8%
3	375	5.2%
8	294	4.1%
4	257	3.6%
6	224	3.1%
7	211	2.9%
Other values (2)	367	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5032	70.1%
Other Punctuation	1420	19.8%
Currency Symbol	724	10.1%

Most frequent character per category

Value	Count	Frequency (%)
0	2343	46.6%
2	547	10.9%
1	414	8.2%
3	375	7.5%
8	294	5.8%
4	257	5.1%
6	224	4.5%
7	211	4.2%
5	200	4.0%
9	167	3.3%

Value	Count	Frequency (%)
$	724	100.0%

Value	Count	Frequency (%)
,	1420	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	7176	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	2343	32.7%
,	1420	19.8%
$	724	10.1%
2	547	7.6%
1	414	5.8%
3	375	5.2%
8	294	4.1%
4	257	3.6%
6	224	3.1%
7	211	2.9%
Other values (2)	367	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7176	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	2343	32.7%
,	1420	19.8%
$	724	10.1%
2	547	7.6%
1	414	5.8%
3	375	5.2%
8	294	4.1%
4	257	3.6%
6	224	3.1%
7	211	2.9%
Other values (2)	367	5.1%

Location Sales Volume Range
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.6%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$1-2.5 Million	370
$2.5-5 Million	328
$500,000-1 Million	13
Less Than $500,000	11

Length

Max length	18
Median length	14
Mean length	14.13296399
Min length	14

Characters and Unicode

Total characters	10204
Distinct characters	20
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$1-2.5 Million
2nd row	$2.5-5 Million
3rd row	$2.5-5 Million
4th row	$1-2.5 Million
5th row	$2.5-5 Million

Value	Count	Frequency (%)
$1-2.5 Million	370	51.1%
$2.5-5 Million	328	45.3%
$500,000-1 Million	13	1.8%
Less Than $500,000	11	1.5%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
million	711	48.9%
1-2.5	370	25.4%
2.5-5	328	22.5%
500,000-1	13	0.9%
less	11	0.8%
than	11	0.8%
500,000	11	0.8%

Most occurring characters

Value	Count	Frequency (%)
i	1422	13.9%
l	1422	13.9%
5	1050	10.3%
	733	7.2%
$	722	7.1%
n	722	7.1%
-	711	7.0%
M	711	7.0%
o	711	7.0%
2	698	6.8%
Other values (10)	1302	12.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4332	42.5%
Decimal Number	2251	22.1%
Space Separator	733	7.2%
Uppercase Letter	733	7.2%
Currency Symbol	722	7.1%
Other Punctuation	722	7.1%
Dash Punctuation	711	7.0%

Most frequent character per category

Value	Count	Frequency (%)
i	1422	32.8%
l	1422	32.8%
n	722	16.7%
o	711	16.4%
s	22	0.5%
e	11	0.3%
h	11	0.3%
a	11	0.3%

Value	Count	Frequency (%)
5	1050	46.6%
2	698	31.0%
1	383	17.0%
0	120	5.3%

Value	Count	Frequency (%)
M	711	97.0%
L	11	1.5%
T	11	1.5%

Value	Count	Frequency (%)
.	698	96.7%
,	24	3.3%

Value	Count	Frequency (%)
$	722	100.0%

Value	Count	Frequency (%)
-	711	100.0%

Value	Count	Frequency (%)
	733	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5139	50.4%
Latin	5065	49.6%

Most frequent character per script

Value	Count	Frequency (%)
i	1422	28.1%
l	1422	28.1%
n	722	14.3%
M	711	14.0%
o	711	14.0%
s	22	0.4%
L	11	0.2%
e	11	0.2%
T	11	0.2%
h	11	0.2%

Value	Count	Frequency (%)
5	1050	20.4%
	733	14.3%
$	722	14.0%
-	711	13.8%
2	698	13.6%
.	698	13.6%
1	383	7.5%
0	120	2.3%
,	24	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10204	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	1422	13.9%
l	1422	13.9%
5	1050	10.3%
	733	7.2%
$	722	7.1%
n	722	7.1%
-	711	7.0%
M	711	7.0%
o	711	7.0%
2	698	6.8%
Other values (10)	1302	12.8%

Management/Administration Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$10,000 to $25,000	560
$25,000 to $50,000	89
$5,000 to $10,000	57
$2,500 to $5,000	8
Less than $2,500	8

Length

Max length	18
Median length	18
Mean length	17.8767313
Min length	16

Characters and Unicode

Total characters	12907
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$10,000 to $25,000
2nd row	$10,000 to $25,000
3rd row	$10,000 to $25,000
4th row	$10,000 to $25,000
5th row	$10,000 to $25,000

Value	Count	Frequency (%)
$10,000 to $25,000	560	77.3%
$25,000 to $50,000	89	12.3%
$5,000 to $10,000	57	7.9%
$2,500 to $5,000	8	1.1%
Less than $2,500	8	1.1%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	714	33.0%
25,000	649	30.0%
10,000	617	28.5%
50,000	89	4.1%
5,000	65	3.0%
2,500	16	0.7%
less	8	0.4%
than	8	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	4998	38.7%
	1444	11.2%
$	1436	11.1%
,	1436	11.1%
5	819	6.3%
t	722	5.6%
o	714	5.5%
2	665	5.2%
1	617	4.8%
s	16	0.1%
Other values (5)	40	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7099	55.0%
Lowercase Letter	1484	11.5%
Space Separator	1444	11.2%
Currency Symbol	1436	11.1%
Other Punctuation	1436	11.1%
Uppercase Letter	8	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	722	48.7%
o	714	48.1%
s	16	1.1%
e	8	0.5%
h	8	0.5%
a	8	0.5%
n	8	0.5%

Value	Count	Frequency (%)
0	4998	70.4%
5	819	11.5%
2	665	9.4%
1	617	8.7%

Value	Count	Frequency (%)
$	1436	100.0%

Value	Count	Frequency (%)
,	1436	100.0%

Value	Count	Frequency (%)
	1444	100.0%

Value	Count	Frequency (%)
L	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11415	88.4%
Latin	1492	11.6%

Most frequent character per script

Value	Count	Frequency (%)
t	722	48.4%
o	714	47.9%
s	16	1.1%
L	8	0.5%
e	8	0.5%
h	8	0.5%
a	8	0.5%
n	8	0.5%

Value	Count	Frequency (%)
0	4998	43.8%
	1444	12.7%
$	1436	12.6%
,	1436	12.6%
5	819	7.2%
2	665	5.8%
1	617	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12907	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	4998	38.7%
	1444	11.2%
$	1436	11.1%
,	1436	11.1%
5	819	6.3%
t	722	5.6%
o	714	5.5%
2	665	5.2%
1	617	4.8%
s	16	0.1%
Other values (5)	40	0.3%

Office Supplies Expense
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$20,000 to $50,000	381
$50,000 to $100,000	317
$10,000 to $20,000	14
$5,000 to $10,000	9
Less than $5,000	1

Length

Max length	19
Median length	18
Mean length	18.42382271
Min length	16

Characters and Unicode

Total characters	13302
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	$20,000 to $50,000
2nd row	$50,000 to $100,000
3rd row	$50,000 to $100,000
4th row	$20,000 to $50,000
5th row	$50,000 to $100,000

Value	Count	Frequency (%)
$20,000 to $50,000	381	52.6%
$50,000 to $100,000	317	43.8%
$10,000 to $20,000	14	1.9%
$5,000 to $10,000	9	1.2%
Less than $5,000	1	0.1%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	721	33.3%
50,000	698	32.2%
20,000	395	18.2%
100,000	317	14.6%
10,000	23	1.1%
5,000	10	0.5%
less	1	< 0.1%
than	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	6079	45.7%
	1444	10.9%
$	1443	10.8%
,	1443	10.8%
t	722	5.4%
o	721	5.4%
5	708	5.3%
2	395	3.0%
1	340	2.6%
s	2	< 0.1%
Other values (5)	5	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7522	56.5%
Lowercase Letter	1449	10.9%
Space Separator	1444	10.9%
Currency Symbol	1443	10.8%
Other Punctuation	1443	10.8%
Uppercase Letter	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	722	49.8%
o	721	49.8%
s	2	0.1%
e	1	0.1%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	6079	80.8%
5	708	9.4%
2	395	5.3%
1	340	4.5%

Value	Count	Frequency (%)
$	1443	100.0%

Value	Count	Frequency (%)
,	1443	100.0%

Value	Count	Frequency (%)
	1444	100.0%

Value	Count	Frequency (%)
L	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11852	89.1%
Latin	1450	10.9%

Most frequent character per script

Value	Count	Frequency (%)
t	722	49.8%
o	721	49.7%
s	2	0.1%
L	1	0.1%
e	1	0.1%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	6079	51.3%
	1444	12.2%
$	1443	12.2%
,	1443	12.2%
5	708	6.0%
2	395	3.3%
1	340	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13302	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	6079	45.7%
	1444	10.9%
$	1443	10.8%
,	1443	10.8%
t	722	5.4%
o	721	5.4%
5	708	5.3%
2	395	3.0%
1	340	2.6%
s	2	< 0.1%
Other values (5)	5	< 0.1%

Own or Lease
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.9%
Missing	379
Missing (%)	52.3%
Memory size	5.8 KiB

Unknown	127
Own	126
Lease	92

Length

Max length	7
Median length	5
Mean length	5.005797101
Min length	3

Characters and Unicode

Total characters	1727
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Own
2nd row	Unknown
3rd row	Own
4th row	Own
5th row	Own

Value	Count	Frequency (%)
Unknown	127	17.5%
Own	126	17.4%
Lease	92	12.7%
(Missing)	379	52.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
unknown	127	36.8%
own	126	36.5%
lease	92	26.7%

Most occurring characters

Value	Count	Frequency (%)
n	507	29.4%
w	253	14.6%
e	184	10.7%
U	127	7.4%
k	127	7.4%
o	127	7.4%
O	126	7.3%
L	92	5.3%
a	92	5.3%
s	92	5.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1382	80.0%
Uppercase Letter	345	20.0%

Most frequent character per category

Value	Count	Frequency (%)
n	507	36.7%
w	253	18.3%
e	184	13.3%
k	127	9.2%
o	127	9.2%
a	92	6.7%
s	92	6.7%

Value	Count	Frequency (%)
U	127	36.8%
O	126	36.5%
L	92	26.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1727	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	507	29.4%
w	253	14.6%
e	184	10.7%
U	127	7.4%
k	127	7.4%
o	127	7.4%
O	126	7.3%
L	92	5.3%
a	92	5.3%
s	92	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1727	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	507	29.4%
w	253	14.6%
e	184	10.7%
U	127	7.4%
k	127	7.4%
o	127	7.4%
O	126	7.3%
L	92	5.3%
a	92	5.3%
s	92	5.3%

Package Container Expense
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$10,000 to $25,000	450
$25,000 to $50,000	242
$5,000 to $10,000	19
$1,000 to $5,000	10
Less than $500	1

Length

Max length	18
Median length	18
Mean length	17.94044321
Min length	14

Characters and Unicode

Total characters	12953
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	$10,000 to $25,000
2nd row	$10,000 to $25,000
3rd row	$10,000 to $25,000
4th row	$10,000 to $25,000
5th row	$25,000 to $50,000

Value	Count	Frequency (%)
$10,000 to $25,000	450	62.2%
$25,000 to $50,000	242	33.4%
$5,000 to $10,000	19	2.6%
$1,000 to $5,000	10	1.4%
Less than $500	1	0.1%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	721	33.3%
25,000	692	31.9%
10,000	469	21.7%
50,000	242	11.2%
5,000	29	1.3%
1,000	10	0.5%
less	1	< 0.1%
500	1	< 0.1%
than	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	5039	38.9%
	1444	11.1%
$	1443	11.1%
,	1442	11.1%
5	964	7.4%
t	722	5.6%
o	721	5.6%
2	692	5.3%
1	479	3.7%
s	2	< 0.1%
Other values (5)	5	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7174	55.4%
Lowercase Letter	1449	11.2%
Space Separator	1444	11.1%
Currency Symbol	1443	11.1%
Other Punctuation	1442	11.1%
Uppercase Letter	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	722	49.8%
o	721	49.8%
s	2	0.1%
e	1	0.1%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	5039	70.2%
5	964	13.4%
2	692	9.6%
1	479	6.7%

Value	Count	Frequency (%)
$	1443	100.0%

Value	Count	Frequency (%)
,	1442	100.0%

Value	Count	Frequency (%)
	1444	100.0%

Value	Count	Frequency (%)
L	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11503	88.8%
Latin	1450	11.2%

Most frequent character per script

Value	Count	Frequency (%)
t	722	49.8%
o	721	49.7%
s	2	0.1%
L	1	0.1%
e	1	0.1%
h	1	0.1%
a	1	0.1%
n	1	0.1%

Value	Count	Frequency (%)
0	5039	43.8%
	1444	12.6%
$	1443	12.5%
,	1442	12.5%
5	964	8.4%
2	692	6.0%
1	479	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12953	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	5039	38.9%
	1444	11.1%
$	1443	11.1%
,	1442	11.1%
5	964	7.4%
t	722	5.6%
o	721	5.6%
2	692	5.3%
1	479	3.7%
s	2	< 0.1%
Other values (5)	5	< 0.1%

Payroll and Benefits Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$500,000 to $1 Million	484
$250,000 to $500,000	114
$1 to $2.5 Million	106
Less than $100,000	9
$100,000 to $250,000	9

Length

Max length	22
Median length	22
Mean length	21.02216066
Min length	18

Characters and Unicode

Total characters	15178
Distinct characters	19
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$250,000 to $500,000
2nd row	$500,000 to $1 Million
3rd row	$500,000 to $1 Million
4th row	$500,000 to $1 Million
5th row	$500,000 to $1 Million

Value	Count	Frequency (%)
$500,000 to $1 Million	484	66.9%
$250,000 to $500,000	114	15.7%
$1 to $2.5 Million	106	14.6%
Less than $100,000	9	1.2%
$100,000 to $250,000	9	1.2%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	713	25.9%
500,000	598	21.7%
million	590	21.4%
1	590	21.4%
250,000	123	4.5%
2.5	106	3.8%
100,000	18	0.7%
than	9	0.3%
less	9	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	3572	23.5%
	2034	13.4%
$	1435	9.5%
o	1303	8.6%
i	1180	7.8%
l	1180	7.8%
5	827	5.4%
,	739	4.9%
t	722	4.8%
1	608	4.0%
Other values (9)	1578	10.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5236	34.5%
Lowercase Letter	5029	33.1%
Space Separator	2034	13.4%
Currency Symbol	1435	9.5%
Other Punctuation	845	5.6%
Uppercase Letter	599	3.9%

Most frequent character per category

Value	Count	Frequency (%)
o	1303	25.9%
i	1180	23.5%
l	1180	23.5%
t	722	14.4%
n	599	11.9%
s	18	0.4%
e	9	0.2%
h	9	0.2%
a	9	0.2%

Value	Count	Frequency (%)
0	3572	68.2%
5	827	15.8%
1	608	11.6%
2	229	4.4%

Value	Count	Frequency (%)
,	739	87.5%
.	106	12.5%

Value	Count	Frequency (%)
M	590	98.5%
L	9	1.5%

Value	Count	Frequency (%)
$	1435	100.0%

Value	Count	Frequency (%)
	2034	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9550	62.9%
Latin	5628	37.1%

Most frequent character per script

Value	Count	Frequency (%)
o	1303	23.2%
i	1180	21.0%
l	1180	21.0%
t	722	12.8%
n	599	10.6%
M	590	10.5%
s	18	0.3%
L	9	0.2%
e	9	0.2%
h	9	0.2%

Value	Count	Frequency (%)
0	3572	37.4%
	2034	21.3%
$	1435	15.0%
5	827	8.7%
,	739	7.7%
1	608	6.4%
2	229	2.4%
.	106	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15178	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	3572	23.5%
	2034	13.4%
$	1435	9.5%
o	1303	8.6%
i	1180	7.8%
l	1180	7.8%
5	827	5.4%
,	739	4.9%
t	722	4.8%
1	608	4.0%
Other values (9)	1578	10.4%

Purchase Print Expenses
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.6%
Missing	3
Missing (%)	0.4%
Memory size	5.8 KiB

$1,000 to $2,500	357
$2,500 to $5,000	340
$500 to $1,000	14
Less than $500	10

Length

Max length	16
Median length	16
Mean length	15.9334258
Min length	14

Characters and Unicode

Total characters	11488
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$1,000 to $2,500
2nd row	$2,500 to $5,000
3rd row	$2,500 to $5,000
4th row	$1,000 to $2,500
5th row	$2,500 to $5,000

Value	Count	Frequency (%)
$1,000 to $2,500	357	49.3%
$2,500 to $5,000	340	47.0%
$500 to $1,000	14	1.9%
Less than $500	10	1.4%
(Missing)	3	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	711	32.9%
2,500	697	32.2%
1,000	371	17.2%
5,000	340	15.7%
500	24	1.1%
less	10	0.5%
than	10	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	3575	31.1%
	1442	12.6%
$	1432	12.5%
,	1408	12.3%
5	1061	9.2%
t	721	6.3%
o	711	6.2%
2	697	6.1%
1	371	3.2%
s	20	0.2%
Other values (5)	50	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5704	49.7%
Lowercase Letter	1492	13.0%
Space Separator	1442	12.6%
Currency Symbol	1432	12.5%
Other Punctuation	1408	12.3%
Uppercase Letter	10	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	721	48.3%
o	711	47.7%
s	20	1.3%
e	10	0.7%
h	10	0.7%
a	10	0.7%
n	10	0.7%

Value	Count	Frequency (%)
0	3575	62.7%
5	1061	18.6%
2	697	12.2%
1	371	6.5%

Value	Count	Frequency (%)
$	1432	100.0%

Value	Count	Frequency (%)
,	1408	100.0%

Value	Count	Frequency (%)
	1442	100.0%

Value	Count	Frequency (%)
L	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9986	86.9%
Latin	1502	13.1%

Most frequent character per script

Value	Count	Frequency (%)
t	721	48.0%
o	711	47.3%
s	20	1.3%
L	10	0.7%
e	10	0.7%
h	10	0.7%
a	10	0.7%
n	10	0.7%

Value	Count	Frequency (%)
0	3575	35.8%
	1442	14.4%
$	1432	14.3%
,	1408	14.1%
5	1061	10.6%
2	697	7.0%
1	371	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11488	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	3575	31.1%
	1442	12.6%
$	1432	12.5%
,	1408	12.3%
5	1061	9.2%
t	721	6.3%
o	711	6.2%
2	697	6.1%
1	371	3.2%
s	20	0.2%
Other values (5)	50	0.4%

Rent Expenses
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$10,000 to $25,000	327
$100,000 to $250,000	229
$50,000 to $100,000	58
Less than $10,000	56
$25,000 to $50,000	52

Length

Max length	20
Median length	18
Mean length	18.63711911
Min length	17

Characters and Unicode

Total characters	13456
Distinct characters	15
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$10,000 to $25,000
2nd row	$10,000 to $25,000
3rd row	$100,000 to $250,000
4th row	$10,000 to $25,000
5th row	$10,000 to $25,000

Value	Count	Frequency (%)
$10,000 to $25,000	327	45.2%
$100,000 to $250,000	229	31.6%
$50,000 to $100,000	58	8.0%
Less than $10,000	56	7.7%
$25,000 to $50,000	52	7.2%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	666	30.7%
10,000	383	17.7%
25,000	379	17.5%
100,000	287	13.3%
250,000	229	10.6%
50,000	110	5.1%
less	56	2.6%
than	56	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	5460	40.6%
	1444	10.7%
$	1388	10.3%
,	1388	10.3%
t	722	5.4%
5	718	5.3%
1	670	5.0%
o	666	4.9%
2	608	4.5%
s	112	0.8%
Other values (5)	280	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7456	55.4%
Lowercase Letter	1724	12.8%
Space Separator	1444	10.7%
Currency Symbol	1388	10.3%
Other Punctuation	1388	10.3%
Uppercase Letter	56	0.4%

Most frequent character per category

Value	Count	Frequency (%)
t	722	41.9%
o	666	38.6%
s	112	6.5%
e	56	3.2%
h	56	3.2%
a	56	3.2%
n	56	3.2%

Value	Count	Frequency (%)
0	5460	73.2%
5	718	9.6%
1	670	9.0%
2	608	8.2%

Value	Count	Frequency (%)
$	1388	100.0%

Value	Count	Frequency (%)
,	1388	100.0%

Value	Count	Frequency (%)
	1444	100.0%

Value	Count	Frequency (%)
L	56	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11676	86.8%
Latin	1780	13.2%

Most frequent character per script

Value	Count	Frequency (%)
t	722	40.6%
o	666	37.4%
s	112	6.3%
L	56	3.1%
e	56	3.1%
h	56	3.1%
a	56	3.1%
n	56	3.1%

Value	Count	Frequency (%)
0	5460	46.8%
	1444	12.4%
$	1388	11.9%
,	1388	11.9%
5	718	6.1%
1	670	5.7%
2	608	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13456	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	5460	40.6%
	1444	10.7%
$	1388	10.3%
,	1388	10.3%
t	722	5.4%
5	718	5.3%
1	670	5.0%
o	666	4.9%
2	608	4.5%
s	112	0.8%
Other values (5)	280	2.1%

Square Footage
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

2,500 - 4,999	692
1 - 1,499	27
5,000 - 9,999	3
1,500 - 2,499	1
10,000 - 19,999	1

Length

Max length	15
Median length	13
Mean length	12.85359116
Min length	9

Characters and Unicode

Total characters	9306
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	2,500 - 4,999
2nd row	2,500 - 4,999
3rd row	2,500 - 4,999
4th row	2,500 - 4,999
5th row	2,500 - 4,999

Value	Count	Frequency (%)
2,500 - 4,999	692	95.6%
1 - 1,499	27	3.7%
5,000 - 9,999	3	0.4%
1,500 - 2,499	1	0.1%
10,000 - 19,999	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
	724	33.3%
4,999	692	31.9%
2,500	692	31.9%
1,499	27	1.2%
1	27	1.2%
5,000	3	0.1%
9,999	3	0.1%
19,999	1	< 0.1%
1,500	1	< 0.1%
2,499	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
9	2148	23.1%
	1448	15.6%
,	1421	15.3%
0	1399	15.0%
-	724	7.8%
4	720	7.7%
5	696	7.5%
2	693	7.4%
1	57	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5713	61.4%
Space Separator	1448	15.6%
Other Punctuation	1421	15.3%
Dash Punctuation	724	7.8%

Most frequent character per category

Value	Count	Frequency (%)
9	2148	37.6%
0	1399	24.5%
4	720	12.6%
5	696	12.2%
2	693	12.1%
1	57	1.0%

Value	Count	Frequency (%)
,	1421	100.0%

Value	Count	Frequency (%)
	1448	100.0%

Value	Count	Frequency (%)
-	724	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9306	100.0%

Most frequent character per script

Value	Count	Frequency (%)
9	2148	23.1%
	1448	15.6%
,	1421	15.3%
0	1399	15.0%
-	724	7.8%
4	720	7.7%
5	696	7.5%
2	693	7.4%
1	57	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9306	100.0%

Most frequent character per block

Value	Count	Frequency (%)
9	2148	23.1%
	1448	15.6%
,	1421	15.3%
0	1399	15.0%
-	724	7.8%
4	720	7.7%
5	696	7.5%
2	693	7.4%
1	57	0.6%

Telcom Expenses
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.4%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$5,000 to $20,000	599
$2,000 to $5,000	109
Less than $2,000	14

Length

Max length	17
Median length	17
Mean length	16.82963989
Min length	16

Characters and Unicode

Total characters	12151
Distinct characters	14
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$2,000 to $5,000
2nd row	$5,000 to $20,000
3rd row	$5,000 to $20,000
4th row	$5,000 to $20,000
5th row	$5,000 to $20,000

Value	Count	Frequency (%)
$5,000 to $20,000	599	82.7%
$2,000 to $5,000	109	15.1%
Less than $2,000	14	1.9%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
5,000	708	32.7%
to	708	32.7%
20,000	599	27.7%
2,000	123	5.7%
less	14	0.6%
than	14	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	4889	40.2%
	1444	11.9%
$	1430	11.8%
,	1430	11.8%
2	722	5.9%
t	722	5.9%
o	708	5.8%
5	708	5.8%
s	28	0.2%
L	14	0.1%
Other values (4)	56	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6319	52.0%
Lowercase Letter	1514	12.5%
Space Separator	1444	11.9%
Currency Symbol	1430	11.8%
Other Punctuation	1430	11.8%
Uppercase Letter	14	0.1%

Most frequent character per category

Value	Count	Frequency (%)
t	722	47.7%
o	708	46.8%
s	28	1.8%
e	14	0.9%
h	14	0.9%
a	14	0.9%
n	14	0.9%

Value	Count	Frequency (%)
0	4889	77.4%
2	722	11.4%
5	708	11.2%

Value	Count	Frequency (%)
$	1430	100.0%

Value	Count	Frequency (%)
,	1430	100.0%

Value	Count	Frequency (%)
	1444	100.0%

Value	Count	Frequency (%)
L	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10623	87.4%
Latin	1528	12.6%

Most frequent character per script

Value	Count	Frequency (%)
t	722	47.3%
o	708	46.3%
s	28	1.8%
L	14	0.9%
e	14	0.9%
h	14	0.9%
a	14	0.9%
n	14	0.9%

Value	Count	Frequency (%)
0	4889	46.0%
	1444	13.6%
$	1430	13.5%
,	1430	13.5%
2	722	6.8%
5	708	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12151	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	4889	40.2%
	1444	11.9%
$	1430	11.8%
,	1430	11.8%
2	722	5.9%
t	722	5.9%
o	708	5.8%
5	708	5.8%
s	28	0.2%
L	14	0.1%
Other values (4)	56	0.5%

Utilities Expenses
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	1.0%
Missing	2
Missing (%)	0.3%
Memory size	5.8 KiB

$2,000 to $5,000	317
$50,000 to $100,000	178
$5,000 to $10,000	62
Over $100,000	52
$25,000 to $50,000	42
Other values (2)	71

Length

Max length	19
Median length	16
Mean length	16.81440443
Min length	13

Characters and Unicode

Total characters	12140
Distinct characters	18
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$2,000 to $5,000
2nd row	$2,000 to $5,000
3rd row	$50,000 to $100,000
4th row	$2,000 to $5,000
5th row	$2,000 to $5,000

Value	Count	Frequency (%)
$2,000 to $5,000	317	43.8%
$50,000 to $100,000	178	24.6%
$5,000 to $10,000	62	8.6%
Over $100,000	52	7.2%
$25,000 to $50,000	42	5.8%
Less than $2,000	39	5.4%
$10,000 to $25,000	32	4.4%
(Missing)	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	631	29.8%
5,000	379	17.9%
2,000	356	16.8%
100,000	230	10.9%
50,000	220	10.4%
10,000	94	4.4%
25,000	74	3.5%
over	52	2.5%
less	39	1.8%
than	39	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	4833	39.8%
	1392	11.5%
$	1353	11.1%
,	1353	11.1%
5	673	5.5%
t	670	5.5%
o	631	5.2%
2	430	3.5%
1	324	2.7%
e	91	0.7%
Other values (8)	390	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6260	51.6%
Lowercase Letter	1691	13.9%
Space Separator	1392	11.5%
Currency Symbol	1353	11.1%
Other Punctuation	1353	11.1%
Uppercase Letter	91	0.7%

Most frequent character per category

Value	Count	Frequency (%)
t	670	39.6%
o	631	37.3%
e	91	5.4%
s	78	4.6%
v	52	3.1%
r	52	3.1%
h	39	2.3%
a	39	2.3%
n	39	2.3%

Value	Count	Frequency (%)
0	4833	77.2%
5	673	10.8%
2	430	6.9%
1	324	5.2%

Value	Count	Frequency (%)
O	52	57.1%
L	39	42.9%

Value	Count	Frequency (%)
$	1353	100.0%

Value	Count	Frequency (%)
,	1353	100.0%

Value	Count	Frequency (%)
	1392	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10358	85.3%
Latin	1782	14.7%

Most frequent character per script

Value	Count	Frequency (%)
t	670	37.6%
o	631	35.4%
e	91	5.1%
s	78	4.4%
O	52	2.9%
v	52	2.9%
r	52	2.9%
L	39	2.2%
h	39	2.2%
a	39	2.2%

Value	Count	Frequency (%)
0	4833	46.7%
	1392	13.4%
$	1353	13.1%
,	1353	13.1%
5	673	6.5%
2	430	4.2%
1	324	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12140	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	4833	39.8%
	1392	11.5%
$	1353	11.1%
,	1353	11.1%
5	673	5.5%
t	670	5.5%
o	631	5.2%
2	430	3.5%
1	324	2.7%
e	91	0.7%
Other values (8)	390	3.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Advertising Expenses	Accounting Expenses	Address	City	State	County	Metro Area	Neighborhood	ZIP Code	ZIP Four	Year Established	Years In Database	Company Name	Computer Expenses	Contract Labor Expenses	Corporate Sales Volume Actual	Insurance Expenses	Last Updated On	Legal Expenses	Location Employee Size Actual	Location Employee Size Range	Location Sales Volume Actual	Location Sales Volume Range	Management/Administration Expenses	Office Supplies Expense	Own or Lease	Package Container Expense	Payroll and Benefits Expenses	Purchase Print Expenses	Rent Expenses	Square Footage	Telcom Expenses	Utilities Expenses
0	$20,000 to $50,000	$2,500 to $5,000	265 W Oakland Park Blvd	Wilton Manors	FL	Broward	Miami-Ft Ldr, FL	Sleepy River	33311	1707.0	NaN	37	Mc Donald's	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202010	$1,000 to $2,500	30	20 to 49	$1,564,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	Own	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
1	$50,000 to $100,000	$5,000 to $10,000	326 Indian Trce	Weston	FL	Broward	Miami-Ft Ldr, FL	Weston	33326	2996.0	NaN	24	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	49	20 to 49	$2,554,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Unknown	$10,000 to $25,000	$500,000 to $1 Million	$2,500 to $5,000	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
2	$50,000 to $100,000	$5,000 to $10,000	1020 Weston Rd	Weston	FL	Broward	Miami-Ft Ldr, FL	NaN	33326	1917.0	NaN	32	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	50	50 to 99	$2,606,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Own	$10,000 to $25,000	$500,000 to $1 Million	$2,500 to $5,000	$100,000 to $250,000	2,500 - 4,999	$5,000 to $20,000	$50,000 to $100,000
3	$50,000 to $100,000	$5,000 to $10,000	9835 Okeechobee Blvd	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	Baywinds	33411	1833.0	NaN	13	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,372,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
4	$50,000 to $100,000	$5,000 to $10,000	828 S Military Trl	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	NaN	33415	3908.0	NaN	28	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	56	50 to 99	$2,952,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Own	$25,000 to $50,000	$500,000 to $1 Million	$2,500 to $5,000	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
5	$50,000 to $100,000	$5,000 to $10,000	6858 Okeechobee Blvd	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	Golden Lakes	33411	2510.0	NaN	30	Mc Donald's	$5,000 to $10,000	$10,000 to $50,000	$0	$50,000 to $100,000	202010	$5,000 to $10,000	65	50 to 99	$3,426,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Own	$25,000 to $50,000	$500,000 to $1 Million	$2,500 to $5,000	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
6	$50,000 to $100,000	$5,000 to $10,000	650 Belvedere Rd	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	NaN	33405	1231.0	NaN	36	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	40	20 to 49	$2,109,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	Own	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$100,000 to $250,000	2,500 - 4,999	$5,000 to $20,000	$50,000 to $100,000
7	$20,000 to $50,000	$5,000 to $10,000	4275 45th St	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	NaN	33407	1859.0	NaN	30	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	35	20 to 49	$1,845,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	Own	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
8	$50,000 to $100,000	$5,000 to $10,000	3015 Forest Hill Blvd	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	NaN	33406	5908.0	NaN	4	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,372,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	Less than $10,000	2,500 - 4,999	$5,000 to $20,000	Less than $2,000
9	$50,000 to $100,000	$5,000 to $10,000	2605 S Military Trl	West Palm Beach	FL	Palm Beach	Miami-Ft Ldr, FL	Shoppes At Cresthaven	33415	7549.0	NaN	9	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,372,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	Less than $10,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000

Last rows

	Advertising Expenses	Accounting Expenses	Address	City	State	County	Metro Area	Neighborhood	ZIP Code	ZIP Four	Year Established	Years In Database	Company Name	Computer Expenses	Contract Labor Expenses	Corporate Sales Volume Actual	Insurance Expenses	Last Updated On	Legal Expenses	Location Employee Size Actual	Location Employee Size Range	Location Sales Volume Actual	Location Sales Volume Range	Management/Administration Expenses	Office Supplies Expense	Own or Lease	Package Container Expense	Payroll and Benefits Expenses	Purchase Print Expenses	Rent Expenses	Square Footage	Telcom Expenses	Utilities Expenses
714	$20,000 to $50,000	$2,500 to $5,000	4174 White Plains Rd	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Wakefield	10466	3012.0	NaN	25	Mc Donald's	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202010	$1,000 to $2,500	20	20 to 49	$930,000	$500,000-1 Million	$5,000 to $10,000	$10,000 to $20,000	Own	$5,000 to $10,000	$250,000 to $500,000	$500 to $1,000	$50,000 to $100,000	2,500 - 4,999	$2,000 to $5,000	$25,000 to $50,000
715	$50,000 to $100,000	$5,000 to $10,000	51-67 161st St	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	NaN	10451	NaN	NaN	29	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	59	50 to 99	$2,742,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Unknown	$25,000 to $50,000	$500,000 to $1 Million	$2,500 to $5,000	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
716	$50,000 to $100,000	$5,000 to $10,000	5765 Broadway	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Kingsbridge	10463	4144.0	NaN	37	Mc Donald's	$2,500 to $5,000	$10,000 to $50,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	65	50 to 99	$3,021,000	$2.5-5 Million	$10,000 to $25,000	$50,000 to $100,000	Lease	$25,000 to $50,000	$500,000 to $1 Million	$2,500 to $5,000	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
717	$20,000 to $50,000	$5,000 to $10,000	597-99 Grand Concourse	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	NaN	10451	NaN	NaN	12	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	40	20 to 49	$1,859,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
718	$20,000 to $50,000	$5,000 to $10,000	599 E Tremont Ave	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	East Tremont	10457	4727.0	NaN	14	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	40	20 to 49	$1,859,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$5,000 to $20,000	$2,000 to $5,000
719	$50,000 to $100,000	$5,000 to $10,000	724 E 241st St	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Wakefield	10470	1302.0	NaN	20	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,091,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	$100,000 to $250,000	2,500 - 4,999	$5,000 to $20,000	$50,000 to $100,000
720	$20,000 to $50,000	$2,500 to $5,000	839 Westchester Ave	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Woodstock	10455	1704.0	NaN	18	Mc Donald's	$1,000 to $2,500	$1,000 to $10,000	$0	$10,000 to $25,000	202010	$1,000 to $2,500	30	20 to 49	$1,394,000	$1-2.5 Million	$5,000 to $10,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	Less than $10,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
721	$50,000 to $100,000	$5,000 to $10,000	86 E 167th St	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Concourse	10452	8203.0	NaN	16	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,091,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	Less than $10,000	2,500 - 4,999	$5,000 to $20,000	Less than $2,000
722	$20,000 to $50,000	$2,500 to $5,000	875 Garrison Ave	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	Hunts Point	10474	5305.0	NaN	31	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$1,000 to $2,500	35	20 to 49	$1,627,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$250,000 to $500,000	$1,000 to $2,500	$10,000 to $25,000	2,500 - 4,999	$2,000 to $5,000	$2,000 to $5,000
723	$50,000 to $100,000	$5,000 to $10,000	925 Hunts Point Ave	Bronx	NY	Bronx	Nw Yrk, NY-NJ-PA	NaN	10459	5190.0	NaN	4	Mc Donald's	$2,500 to $5,000	$1,000 to $10,000	$0	$25,000 to $50,000	202010	$2,500 to $5,000	45	20 to 49	$2,091,000	$1-2.5 Million	$10,000 to $25,000	$20,000 to $50,000	NaN	$10,000 to $25,000	$500,000 to $1 Million	$1,000 to $2,500	Less than $10,000	2,500 - 4,999	$5,000 to $20,000	$50,000 to $100,000

Overview

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